Title
Bounds on the rate of convergence for one class of inhomogeneous Markovian queueing models with possible batch arrivals and services
Abstract
AbstractAbstract In this paper we present a method for the computation of convergence bounds for four classes of multiserver queueing systems, described by inhomogeneous Markov chains. Specifically, we consider an inhomogeneous M/M/S queueing system with possible state-dependent arrival and service intensities, and additionally possible batch arrivals and batch service. A unified approach based on a logarithmic norm of linear operators for obtaining sharp upper and lower bounds on the rate of convergence and corresponding sharp perturbation bounds is described. As a side effect, we show, by virtue of numerical examples, that the approach based on a logarithmic norm can also be used to approximate limiting characteristics the idle probability and the mean number of customers in the system of the systems considered with a given approximation error.
Year
DOI
Venue
2018
10.2478/amcs-2018-0011
Periodicals
Keywords
Field
DocType
inhomogeneous birth and death processes, weak ergodicity, rate of convergence, sharp bounds, logarithmic norm, forward Kolmogorov system
Mathematical optimization,Markov process,Queueing theory,Rate of convergence,Logarithmic norm,Mathematics
Journal
Volume
Issue
ISSN
28
1
1641-876X
Citations 
PageRank 
References 
0
0.34
2
Authors
6
Name
Order
Citations
PageRank
Alexander I. Zeifman14417.93
Rostislav Razumchik299.46
Yacov Satin395.24
Ksenia Kiseleva400.68
Anna Korotysheva5115.32
Victor Korolev61611.26